# Biostatistics and Bioinformatics Core

> **NIH NIH P20** · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · 2021 · $140,849

## Abstract

PROJECT SUMMARY
Core C (Biostatistics and Bioinformatics Core) of the NYU Cancer Health Disparity (CHD) SPORE is designed
to provide statistical and bioinformatics collaboration and consultation to all SPORE Research Projects,
Developmental Research Projects, and Core B (Biospecimen Procurement and Utilization Core). Consultation
is available from the study design and planning stages through implementation, data management, statistical and
bioinformatics analysis, and interpretation of results. Core C will provide support for all proposed laboratory
studies and translational studies, including biomarker development based on samples from existing and new
research studies to support the overarching mission and central scientific strategy of the NYU CHD SPORE.
Furthermore, strategies for the systematic selection of samples from all the projects and the coordination of
informatics support in Core C will permit the overall integration of results across projects to develop
comprehensive models to predict disease occurrence and treatment outcomes. Core C draws on and integrates
an extensive fund of knowledge, resources, and expertise across the NYU Biostatistics Resource(BSR), Applied
Bioinformatics Laboratories (ABL), and Perlmutter Cancer Center (PCC), to serve the NYU CHD SPORE. The
Co-Directors, Dr. Huilin Li, the director of NYUBR, and Dr. Kelly Ruggles, the Assistant Director of Biomedical
Informatics in the Institute for Innovation in Medical Education at NYU, will provide integrated biostatistical and
bioinformatic support and ensure maximum utilization of all institutional resources and facilities. This will
empower the provision of expertise in all aspects of: statistical design; power/sample size calculations;
systematic sample selection strategies for efficient data integration and analyses; and integration of data from
multiple sources including laboratory data, clinical data, and data from diverse sequencing platforms. Core C will
develop innovative statistical and bioinformatics methods, including innovative methods to integrate
metagenomic, somatic mutation and immune profiling data. The research uses a mediation analysis framework
to investigate the role of the microbiome in health disparity research. We will make these newly developed
algorithms publicly available to the larger cancer research community.

## Key facts

- **NIH application ID:** 10265458
- **Project number:** 5P20CA252728-02
- **Recipient organization:** NEW YORK UNIVERSITY SCHOOL OF MEDICINE
- **Principal Investigator:** Huilin Li
- **Activity code:** P20 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $140,849
- **Award type:** 5
- **Project period:** 2020-09-17 → 2023-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10265458

## Citation

> US National Institutes of Health, RePORTER application 10265458, Biostatistics and Bioinformatics Core (5P20CA252728-02). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10265458. Licensed CC0.

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